WebLoss: CE, Focal Loss, Smooth L1 Loss, IoU-Smooth L1 Loss, Modulated Loss Others: SWA, exportPb, MMdnn The above-mentioned rotation detectors are all modified based on the following horizontal detectors: Faster RCNN: TF code R-FCN: TF code FPN: TF code1 , TF code2 (Deprecated) Cascade RCNN: TF code Cascade FPN RCNN: TF code … Web14 apr. 2024 · IOU系列损失函数 上述计算矩形框的L1、L2、smooth L1损失时有一个共同点,都是分别计算矩形框中心点x坐标、中心点y坐标、宽、高的损失,最后再将四个损失值相加得到该矩形框的最终损失值。 这种计算方法的前提假设是中心点x坐标、中心点y坐标、宽、高这四个值是相互独立的,实际上它们具有相关性,所以该计算方法存在问题。 于 …
关于旋转检测中高精度边界框的优化
Web12 jan. 2024 · L1 Loss. Not stable for small errors. Smooth L1 Loss. Baseline regression loss function. More robust to outliers compared to L1 Loss. Balanced L1 Loss. Increases … Web11 apr. 2024 · 目标检测近年来已经取得了很重要的进展,主流的算法主要分为两个类型[1611.06612] RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation (arxiv.org):(1)two-stage方法,如R-CNN系算法,其主要思路是先通过启发式方法(selective search)或者CNN网络(RPN)产生一系列稀疏的候选框,然后对 … importance of tribal sovereignty today
IoU-Balanced loss functions for single-stage object detection
Web7 nov. 2024 · Some approaches have been proposed to solve these problems based on the above analysis. For example, IoU-smooth L1 [] loss introduces the IoU factor, and … Web为了更准确地进行旋转估计,将IoU常数因子添加到smooth L1 loss中,用来解决旋转边界框的边界问题。 SF-Net: 该模块主要是通过加入带有Inception结构的残差项,来融合low … literary north carolina